Maryam Hassanlou is a Director Analyst with extensive experience in designing, developing, implementing, and evaluating Machine Learning, Artificial Intelligence, Knowledge Graphs, Decision Support Systems, Operation Research, and Expert System models. With a passion for bridging the gap between technology and business, she has a proven track record of delivering meaningful insights and impactful solutions to organizations and also in research publications. Her areas of focus include Decision Intelligence, ML/AI use cases implementation, statistical analysis, Business Intelligence, AI Indexing, MLOps, and Task and Process Mining. With a strong background in analytics, Maryam has a deep understanding of the value that data can bring to decision-making processes and has developed effective strategies for leveraging data to drive better outcomes.
Maryam's background encompasses both academic and industry experience, showcasing expertise in teaching, research, and management within academia, as well as proficiency in developing machine learning models and implementing decision support systems in the financial consulting industry, streamlining processes through process reengineering/mining, and executing project planning, budgeting, and control within the oil and energy industry.
Arad International group, Business /Data Analytics Manager, 3 years
California State University San Marcos, Faculty, 6 years
National Oil Company, Project Planning & Control Manager, 4 years
Artificial Intelligence
Architect, Implement and Scale Data and Analytics Solutions
Lead a World-Class Data and Analytics Organization
Realize Value From Data and Analytics Investments
Build Trusted Data, Analytics and AI
Ph.D. in Industrial Engineering, 2012, Iran University of Science and Technology Tehran, Iran
M.S. in Industrial Engineering, 2005, Iran University of Science and Technology Tehran, Iran
B.S. in Industrial Engineering, 2003, Amir-Kabir University Tehran, Iran
AI use case implementation
DSML Platforms and market landscape
Generative AI (Foundations, use cases, Operationalizing, Market landscape)
Knowledge Graphs
Anomaly detection (in finance, Manufacturing, healthcare, cybersecurity)